Mohamed Masoud

Mohamed Masoud,  received his Ph.D. in Computer Science from Georgia State University in 2018. His research lies at the intersection of computational imaging, artificial intelligence, bioimage informatics, and web-based technologies for biomedical discovery. He has developed machine learning, computer vision, and image analysis web-based pipelines for neuroimaging, digital pathology, multiplex imaging, spatial omics, and biomedical data visualization.

Prior to joining the IDIA Lab at the University of Wisconsin–Madison as a Data Scientist, Dr. Masoud conducted research at Georgia State University and the School of Medicine at Emory University. His work has focused on developing scalable computational workflows and interactive platforms that enable researchers to analyze complex biomedical imaging data and translate it into meaningful biological insights. He is the creator and lead developer of several open-source projects, including Brainchop, an in-browser MRI segmentation platform; HistoJS, a framework for multiplex bioimage analysis; and MeshFL, a decentralized framework for federated neuroimaging AI. He has also contributed to computational pathology and whole-slide imaging workflows built on the Digital Slide Archive ecosystem.